Multi-controller balancing deployment strategy based on reliability evaluation in SDN

Tao HU; Jian-hui ZHANG; Teng MA; Wei ZHAO

doi:10.11959/j.issn.1000-436x.2017224

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Multi-controller balancing deployment strategy based on reliability evaluation in SDN

Correspondences | 更新时间：2024-06-05

- Multi-controller balancing deployment strategy based on reliability evaluation in SDN
- Journal on Communications Vol. 38, Issue 11, Pages: 188-198(2017)
- 作者机构：
  
  国家数字交换系统工程技术研究中心，河南郑州 450002
- 作者简介：
- 基金信息：
  
  The Innovation Group Program Project of National Natural Science Foundation of China(61521003);The National Natural Science Foundation of China(61372121);The National Natural Science Foundation of China(61572519);The National Key Technology R＆D Program(2014BAH30B01);The National High Technology Research and Development Program of China (863 Program)(2015AA016102);The National High Technology Research and Development Program of China (863 Program)(2013AA013505);Key Scientific and Technological Project of Henan Province(162102210034)
- DOI：10.11959/j.issn.1000-436x.2017224
  CLC： TP393
- Online First：2017-11，
  
  Published：25 November 2017
- 稿件说明：
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Tao HU, Jian-hui ZHANG, Teng MA, et al. Multi-controller balancing deployment strategy based on reliability evaluation in SDN[J]. Journal on Communications, 2017, 38(11): 188-198.
DOI：

Tao HU, Jian-hui ZHANG, Teng MA, et al. Multi-controller balancing deployment strategy based on reliability evaluation in SDN[J]. Journal on Communications, 2017, 38(11): 188-198. DOI： 10.11959/j.issn.1000-436x.2017224.

摘要

针对分布式软件定义网络中控制平面可靠性差和控制器负载不均衡问题，提出一种基于可靠性评估的多控制器均衡部署策略。首先，通过综合权衡节点效能和路径质量评估节点可靠性，并在网络中设定均衡因子，优化控制器部署位置；然后，改进k-center聚类方法，引入冗余函数，根据节点吸引度和控制器负载均衡率完成交换机分配，实现合理的SDN子域规划。仿真结果表明，与现有策略相比，所需控制器数量平均减少22.1%，控制平面弹性明显增强，控制器负载均衡性能得到较大提升。

Abstract

The control plane has low reliability and controller loads were unbalanced in distributed software defined networks

and a multi-controller balancing deployment strategy based on reliability evaluation was proposed.Firstly

node reliability was evaluated by weighting node efficiency and path quality

optimizing the controller location with balancing factor.Then based on improved k-center clustering

the redundant functions was introduced and the switch allocation was completed according to node attractiveness degree and controller load balancing rate

achieving a reasonable SDN sub-domain planning.The simulations show that compared with the existing strategy the number of required controllers is reduced by an average of 22.1%.The control plane elasticity is enhanced

and the controller load balancing performance has been improved significantly.

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Keywords

references

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